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Scenario-Based Satisficing in Saving: A Theoretical and Experimental Analysis

Listed author(s):
  • Werner Gueth


    (Max Planck Institute of Economics, Strategic Interaction Group, Jena, Germany)

  • M. Vittoria Levati


    (Max Planck Institute of Economics, Strategic Interaction Group, Jena, Germany)

  • Matteo Ploner


    (Max Planck Institute of Economics, Strategic Interaction Group, Jena, Germany; University of Trento, Italy)

Contrary to the models of deterministic life cycle saving, we take it for granted that uncertainty of one's future is the essential problem of saving decisions. However, unlike the stochastic life cycle models, we capture this crucial uncertainty by a non-Bayesian scenario-based satisï¬ cing approach. Decision makers ï¬ rst form aspirations for a few relevant scenarios, and then search for saving plans satisï¬ cing these aspirations. In addition to formally specifying scenario-based satisï¬ cing in saving, we explore it experimentally. The results conï¬ rm that optimal intertemporal allocations are diffcult to derive, and suggest that satisï¬ cing allocations can be reached easily when aspirations are incentivized.

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Paper provided by Friedrich-Schiller-University Jena in its series Jena Economic Research Papers with number 2007-049.

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Date of creation: 22 Aug 2007
Handle: RePEc:jrp:jrpwrp:2007-049
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